Invention Grant
- Patent Title: Synthesized data augmentation using voice conversion and speech recognition models
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Application No.: US17008278Application Date: 2020-08-31
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Publication No.: US11335324B2Publication Date: 2022-05-17
- Inventor: Fadi Biadsy , Liyang Jiang , Pedro J. Moreno Mengibar , Andrew Rosenberg
- Applicant: Google LLC
- Applicant Address: US CA Mountain View
- Assignee: Google LLC
- Current Assignee: Google LLC
- Current Assignee Address: US CA Mountain View
- Agency: Honigman LLP
- Agent Brett A. Krueger
- Main IPC: G10L15/06
- IPC: G10L15/06 ; G10L15/16 ; G10L13/04 ; G10L13/047 ; G10L15/22 ; G10L13/08

Abstract:
A method for training a speech conversion model personalized for a target speaker with atypical speech includes obtaining a plurality of transcriptions in a set of spoken training utterances and obtaining a plurality of unspoken training text utterances. Each spoken training utterance is spoken by a target speaker associated with atypical speech and includes a corresponding transcription paired with a corresponding non-synthetic speech representation. The method also includes adapting, using the set of spoken training utterances, a text-to-speech (TTS) model to synthesize speech in a voice of the target speaker and that captures the atypical speech. For each unspoken training text utterance, the method also includes generating, as output from the adapted TTS model, a synthetic speech representation that includes the voice of the target speaker and that captures the atypical speech. The method also includes training the speech conversion model based on the synthetic speech representations.
Public/Granted literature
- US20220068257A1 Synthesized Data Augmentation Using Voice Conversion and Speech Recognition Models Public/Granted day:2022-03-03
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